Instructions to use prithivMLmods/Dolphin-v2-f32-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use prithivMLmods/Dolphin-v2-f32-GGUF with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("image-text-to-text", model="prithivMLmods/Dolphin-v2-f32-GGUF")
messages = [
    {
        "role": "user",
        "content": [
            {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"},
            {"type": "text", "text": "What animal is on the candy?"}
        ]
    },
]
pipe(text=messages)

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("prithivMLmods/Dolphin-v2-f32-GGUF", dtype="auto")

llama-cpp-python

How to use prithivMLmods/Dolphin-v2-f32-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="prithivMLmods/Dolphin-v2-f32-GGUF",
	filename="Dolphin-v2.BF16.gguf",
)

llm.create_chat_completion(
	messages = [
		{
			"role": "user",
			"content": [
				{
					"type": "text",
					"text": "Describe this image in one sentence."
				},
				{
					"type": "image_url",
					"image_url": {
						"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
					}
				}
			]
		}
	]
)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use prithivMLmods/Dolphin-v2-f32-GGUF with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf prithivMLmods/Dolphin-v2-f32-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf prithivMLmods/Dolphin-v2-f32-GGUF:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf prithivMLmods/Dolphin-v2-f32-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf prithivMLmods/Dolphin-v2-f32-GGUF:Q4_K_M

Use pre-built binary

# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases
# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf prithivMLmods/Dolphin-v2-f32-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf prithivMLmods/Dolphin-v2-f32-GGUF:Q4_K_M

Build from source code

git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf prithivMLmods/Dolphin-v2-f32-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf prithivMLmods/Dolphin-v2-f32-GGUF:Q4_K_M

Use Docker

docker model run hf.co/prithivMLmods/Dolphin-v2-f32-GGUF:Q4_K_M

LM Studio
Jan

vLLM

How to use prithivMLmods/Dolphin-v2-f32-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "prithivMLmods/Dolphin-v2-f32-GGUF"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "prithivMLmods/Dolphin-v2-f32-GGUF",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

Use Docker

docker model run hf.co/prithivMLmods/Dolphin-v2-f32-GGUF:Q4_K_M

SGLang

How to use prithivMLmods/Dolphin-v2-f32-GGUF with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "prithivMLmods/Dolphin-v2-f32-GGUF" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "prithivMLmods/Dolphin-v2-f32-GGUF",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "prithivMLmods/Dolphin-v2-f32-GGUF" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "prithivMLmods/Dolphin-v2-f32-GGUF",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

Ollama
How to use prithivMLmods/Dolphin-v2-f32-GGUF with Ollama:
```
ollama run hf.co/prithivMLmods/Dolphin-v2-f32-GGUF:Q4_K_M
```

Unsloth Studio

How to use prithivMLmods/Dolphin-v2-f32-GGUF with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for prithivMLmods/Dolphin-v2-f32-GGUF to start chatting

Install Unsloth Studio (Windows)

irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for prithivMLmods/Dolphin-v2-f32-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for prithivMLmods/Dolphin-v2-f32-GGUF to start chatting

How to use prithivMLmods/Dolphin-v2-f32-GGUF with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama-server -hf prithivMLmods/Dolphin-v2-f32-GGUF:Q4_K_M

Configure the model in Pi

# Install Pi:
npm install -g @mariozechner/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "llama-cpp": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "prithivMLmods/Dolphin-v2-f32-GGUF:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use prithivMLmods/Dolphin-v2-f32-GGUF with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama-server -hf prithivMLmods/Dolphin-v2-f32-GGUF:Q4_K_M

Configure Hermes

# Install Hermes:
curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash
hermes setup
# Point Hermes at the local server:
hermes config set model.provider custom
hermes config set model.base_url http://127.0.0.1:8080/v1
hermes config set model.default prithivMLmods/Dolphin-v2-f32-GGUF:Q4_K_M

Run Hermes

hermes

Atomic Chat new
Docker Model Runner
How to use prithivMLmods/Dolphin-v2-f32-GGUF with Docker Model Runner:
```
docker model run hf.co/prithivMLmods/Dolphin-v2-f32-GGUF:Q4_K_M
```

Lemonade

How to use prithivMLmods/Dolphin-v2-f32-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull prithivMLmods/Dolphin-v2-f32-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.Dolphin-v2-f32-GGUF-Q4_K_M

List all available models

lemonade list

@@ -33,3 +33,17 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text

 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+Dolphin-v2.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text
+Dolphin-v2.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
+Dolphin-v2.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
+Dolphin-v2.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+Dolphin-v2.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+Dolphin-v2.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+Dolphin-v2.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+Dolphin-v2.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+Dolphin-v2.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+Dolphin-v2.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
+Dolphin-v2.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
+Dolphin-v2.f16.gguf filter=lfs diff=lfs merge=lfs -text
+Dolphin-v2.mmproj-Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
+Dolphin-v2.mmproj-f16.gguf filter=lfs diff=lfs merge=lfs -text

prithivMLmods
/

Dolphin-v2-f32-GGUF

Upload folder using huggingface_hub

+version https://git-lfs.github.com/spec/v1
+oid sha256:77cd9c48485c58a6214c9cfc2b4928ef1803083e9c56a68904ee3a352ab895f6
+size 1753185536

+version https://git-lfs.github.com/spec/v1
+oid sha256:45ebcb604fe3d736b0d651d94e2fd68db5208c7e2d4a69beff266ec42b78f2ad
+size 1274756352

+version https://git-lfs.github.com/spec/v1
+oid sha256:219f6036dcf9473f0a88a4e9a6c1dcdfd56b602d8f0765cb79755041e7838bc3
+size 1707392256

+version https://git-lfs.github.com/spec/v1
+oid sha256:a240fcd9ef46f45ba9768addf7ad8082ddd809635b01aa49fd20cef801228f97
+size 1590476032

+version https://git-lfs.github.com/spec/v1
+oid sha256:ce285dbebcd18f8fe30a6464ab1d45168ddcb0dd0af4924e5a0d654d2b9954ab
+size 1454357760

+version https://git-lfs.github.com/spec/v1
+oid sha256:f671349d768bf5c1cb3e4fe178bf29340035f93d42ee0b80591fed7284bac837
+size 1929903360

+version https://git-lfs.github.com/spec/v1
+oid sha256:6be86f6a04ed9ed24f97b6b97ae017b2ea2fed5a954ba62d2411f44750df8c7b
+size 1834384640

+version https://git-lfs.github.com/spec/v1
+oid sha256:1d0306fd83e4bc3edcc3718503035b5e977f9c400361282bdf34106232992a2e
+size 2224815360

+version https://git-lfs.github.com/spec/v1
+oid sha256:915c60a6c5d87eb77407279e66fea84fdbd12b9ba772cc158106ea838d221689
+size 2169666816

+version https://git-lfs.github.com/spec/v1
+oid sha256:12e9e4b85cd5b5540e63c831103fc72a58b23a492d35aedbbc4e86bd75ff7336
+size 2538159360

	@@ -0,0 +1,3 @@

	@@ -0,0 +1,3 @@

	@@ -0,0 +1,3 @@

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:3fdd687f4e2674081381c0638510a4c59000eb625884686b737e5d1e85050137
+size 3285476608

+version https://git-lfs.github.com/spec/v1
+oid sha256:417d38c1f1628c968f56bc1e91c2c9d56bb67f416f6d01b071bcdd8e1d985b14
+size 6178317568

+version https://git-lfs.github.com/spec/v1
+oid sha256:70601fe3b357271c7bcabbe3174c9b59fb6476055b66eae2ecd22ac5c32a4cef
+size 847768736

+version https://git-lfs.github.com/spec/v1
+oid sha256:93432318a84c139068cba0a4c72f572aed88ab1554fe239df748a37267b93913
+size 1338428576